The answer is A, the FERA gave money to state governments in order to operate more relief programs to take care of people who were unemployed
Answer:
D or last option, as you can see down there, in the South, African Americans didn’t have much opportunity to do anything because they were seen as slaves and were not respected.
Explanation:
What were the reasons African Americans migrated from the rural South to the industrial cities of the north?
The primary factors for migration among southern African Americans were segregation, indentured servitude, convict leasing, an increase in the spread of racist ideology, widespread lynching (nearly 3,500 African Americans were lynched between 1882 and 1968), and lack of social and economic opportunities in the South.
Answer:
The Tuscarora signed a treaty with colonial officials in 1718 and settled on a reserved tract of land in Bertie County, North Carolina.
Answer:
The correct answer is option B.
Explanation:
Long-run economic growth is measured in the US using real GDP per capita. It can also be called real GDP per person. Instead of nominal GDP, real GDP is used as it is an inflation-adjusted measure. It measures the change in economic output.
The trend in the real GDP per capita has been strongly upwards except for some short term fluctuations because of business cycles.
Regression is problematic for classical statistical tests that assume independently distributed errors.
Regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model can indicate whether an observed change in the dependent variable is associated with changes in one or more of the explanatory variables.
Regression comes from "regress", which comes from the Latin word "regresses" – (to return to something). In this sense, regression is a technique that allows us to move from chaotic and difficult-to-interpret data to a clearer and more meaningful model.
Regression analysis predicts a continuous dependent variable from a set of variables. Used when the independent variable. If your dependent variable is dichotomous, you should use logistic regression.
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